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The co-regulation mechanism of transcription factors in the human gene regulatory network
The co-regulation of transcription factors (TFs) has been widely observed in various species. Why is such a co-regulation mechanism needed for transcriptional regulation? To answer this question, the following experiments and analyses were performed. First, examination of the human gene regulatory n...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3467061/ https://www.ncbi.nlm.nih.gov/pubmed/22798495 http://dx.doi.org/10.1093/nar/gks664 |
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author | Kim, Junil Choi, Minsoo Kim, Jeong-Rae Jin, Hua Kim, V. Narry Cho, Kwang-Hyun |
author_facet | Kim, Junil Choi, Minsoo Kim, Jeong-Rae Jin, Hua Kim, V. Narry Cho, Kwang-Hyun |
author_sort | Kim, Junil |
collection | PubMed |
description | The co-regulation of transcription factors (TFs) has been widely observed in various species. Why is such a co-regulation mechanism needed for transcriptional regulation? To answer this question, the following experiments and analyses were performed. First, examination of the human gene regulatory network (GRN) indicated that co-regulation was significantly enriched in the human GRN. Second, mathematical simulation of an artificial regulatory network showed that the co-regulation mechanism was related to the biphasic dose–response patterns of TFs. Third, the relationship between the co-regulation mechanism and the biphasic dose–response pattern was confirmed using microarray experiments examining different time points and different doses of the toxicant tetrachlorodibenzodioxin. Finally, two mathematical models were constructed to mimic highly co-regulated networks (HCNs) and little co-regulated networks (LCNs), and we found that HCNs were more robust to parameter perturbation than LCNs, whereas LCNs were faster in adaptation to environmental changes than HCNs. |
format | Online Article Text |
id | pubmed-3467061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-34670612012-10-10 The co-regulation mechanism of transcription factors in the human gene regulatory network Kim, Junil Choi, Minsoo Kim, Jeong-Rae Jin, Hua Kim, V. Narry Cho, Kwang-Hyun Nucleic Acids Res Computational Biology The co-regulation of transcription factors (TFs) has been widely observed in various species. Why is such a co-regulation mechanism needed for transcriptional regulation? To answer this question, the following experiments and analyses were performed. First, examination of the human gene regulatory network (GRN) indicated that co-regulation was significantly enriched in the human GRN. Second, mathematical simulation of an artificial regulatory network showed that the co-regulation mechanism was related to the biphasic dose–response patterns of TFs. Third, the relationship between the co-regulation mechanism and the biphasic dose–response pattern was confirmed using microarray experiments examining different time points and different doses of the toxicant tetrachlorodibenzodioxin. Finally, two mathematical models were constructed to mimic highly co-regulated networks (HCNs) and little co-regulated networks (LCNs), and we found that HCNs were more robust to parameter perturbation than LCNs, whereas LCNs were faster in adaptation to environmental changes than HCNs. Oxford University Press 2012-10 2012-07-13 /pmc/articles/PMC3467061/ /pubmed/22798495 http://dx.doi.org/10.1093/nar/gks664 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Computational Biology Kim, Junil Choi, Minsoo Kim, Jeong-Rae Jin, Hua Kim, V. Narry Cho, Kwang-Hyun The co-regulation mechanism of transcription factors in the human gene regulatory network |
title | The co-regulation mechanism of transcription factors in the human gene regulatory network |
title_full | The co-regulation mechanism of transcription factors in the human gene regulatory network |
title_fullStr | The co-regulation mechanism of transcription factors in the human gene regulatory network |
title_full_unstemmed | The co-regulation mechanism of transcription factors in the human gene regulatory network |
title_short | The co-regulation mechanism of transcription factors in the human gene regulatory network |
title_sort | co-regulation mechanism of transcription factors in the human gene regulatory network |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3467061/ https://www.ncbi.nlm.nih.gov/pubmed/22798495 http://dx.doi.org/10.1093/nar/gks664 |
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